The Complete Google Antigravity Course: AI Agent Development

Explore Google Antigravity as an AI agent that moves beyond code generation by guiding goal setting, creating an implementation plan, and executing tasks within a structured development workflow.

Learn to create a simple to-do list app using HTML, CSS, and JavaScript by writing a clear prompt; includes adding, completing, deleting tasks, and local storage.

Learn to craft clear prompts with the universal agent prompt template—defining role, context, goal, task, constraints, scope, acceptance criteria, output, and rule—for reliable AI results across engineering tasks.

Learn how the AI agent interprets prompts, plans architecture, and executes changes with precision. Avoid vague input, and guide execution through clear prompts, constraints, and iterative reviews.

Plan before you build by using the implementation plan as a detailed blueprint that defines goals, architecture, file structure, and testing strategy before execution.

Transform the approved implementation plan into a precise task list that defines the exact sequence of actions for execution, ensuring architecture-guided, transparent development.

Use the walkthrough to convert execution into verifiable evidence, showing step-by-step actions, screenshots, and logs so you verify AI agent behavior before final approval.

Collaborate with an AI agent to generate and refine code, design, and documentation through a generate-review-improve feedback loop. Use edits, prompts, or feedback on artifacts like code diffs and screenshots.

Discover four safe ways to undo AI updates: ask the AI, use editor undo, discard changes with Git, or restore a previous version via the Timeline.

Apply a repeatable AI agent workflow to build complete systems across architectures, from a frontend finance dashboard to a full-stack chat app and AI education tools.

Build a responsive personal finance dashboard using React, Vite, Tailwind, and Recharts, with localStorage persistence, transaction management, and charts for income versus expenses and monthly filtering.

Build a modern, real-time chat app with React frontend, Node.js backend, and Socket.io real-time messaging, featuring a clean Tailwind UI.

Build a desktop app, Auto Data Merger Tool, that merges Excel and CSV files, cleans data, computes revenue KPIs, visualizes revenue trends with Matplotlib in Tkinter, and exports a report.

Build a modular Playwright-based automation framework in Python to test login flows on SauceDemo, with headless browser execution, failure screenshots, and pytest reports.

Build a 2048 browser game using vanilla HTML, CSS, and JavaScript. Implement movement and merging on a 4x4 grid with arrow keys, scoring, and win or game over states.

Build a client-side AI business intelligence dashboard in React and TypeScript that ingests CSV uploads, profiles data, renders dynamic charts, generates AI insights with Gemini, and exports executive reports.

Build an ai coding trainer platform that generates personalized problems, checks code, explains mistakes, and delivers mentor-style feedback with starter code, hints, and sample solutions.

Master a repeatable AI development workflow, plan before execution, review outputs, and refine, across frontend, full-stack, desktop, games, and dashboards.